Simple Feed-Forward Neural Network that classifies characters on the mnist dataset.
-
Updated
Nov 9, 2019 - Python
Simple Feed-Forward Neural Network that classifies characters on the mnist dataset.
A multibranch neural net architecture. (PyTorch)
Training pipeline for image classification in PyTorch.
Contains my explorations of using Docker to automate ML workflows.
Very minimal pytorch boilerplate with wandb logging and multi gpu support
A test repository to demonstrate wandb integration with GitHub Actions for automatic metric reporting for ML models.
Pytorch-lightning framework for knowledge distillation experiments with CNN
Using semantic segmentation to detect steel surface defects
Implementation of "Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks" by Fang et al. (2020)
🐋 Template for ML projects using VSCode Development Containers
Et maskinlæringsprosjekt i faget TDAT3025 - Anvendt maskinlæring med prosjekt.
This repo includes code files for project, I did at XYMA Analytics.
Example of integration of Neu.ro with W&B for hyperparameter tuning
Pytorch solution of MIDAS LAB INTERNSHIP Task 2
🥈50th place in Bristol-Myers Squibb – Molecular Translation competition🥈
Monitor SLURM jobs using Weights and Biases (wandb) 📊
Tiny ResNet inspired FPN network (<2M params) for Rotated Object Detection using 5-parameter Modulated Rotation Loss
🥈42nd place in CommonLit Readability Prize competition🥈
BuilT - Build a Trainer of deep neural networks
Add a description, image, and links to the wandb topic page so that developers can more easily learn about it.
To associate your repository with the wandb topic, visit your repo's landing page and select "manage topics."